Building NYC Tech

eBay NYC is a brand new office located in Chelsea, home to eBay and eBay Now. We're building a community interested in solving challenging technology problems and we’re passionate about helping the NYC tech community grow. Join us for our speaker series, eBay Tech Talks, and our no-strings-attached incubator program, Friends of eBay. We hope you'll stop by and say hello.

The Team

The eBay NYC team hail from the likes of Hunch, Svpply and eBay Now. We’re a group of developers and designers who came together to chew on big engineering and product challenges. And we’re hiring, so if you’d like to rub elbows, send us an email.

Mark Boyd

Matt Gattis

Nate Stedman

Natraj Srinivasan

Nelson Lee

Ryan Snyder

Scott Davis

Steve Primerano

Tom Pinckney

Tomer Meron

Volkan Gurel

Weiyu Zhou

eBay Now

eBay Now is a new mobile iOS app and local shopping service from eBay. eBay Now can deliver thousands of local products from hundreds of local retailers in San Francisco and parts of New York City, usually in about an hour!

Friends of eBay

Friends of eBay aims to support the next wave of NYC tech by offering free office space to early stage startups and the chance to work alongside some of the best minds in the field.

Truly Wireless

Jethro Lai

Truly Wireless

John Ryan

Truly Wireless

Kathleen Urvalek

Truly Wireless

Steven Lehrburger

Vine.im

David Yang

Yealthy

Nimit Maru

Yealthy

David Sinsky

Zencap

Jobs

The New York tech scene is growing and eBay NYC is growing with it. We’re tackling complex data and product challenges across a variety of eBay properties and we’re looking for creative minds to conceptualize, deploy and scale solutions to hundreds of millions of people.

Working here gives you the best of both worlds: we provide a collaborative environment and interesting projects that will remind you of a nimble and innovative startup. But you’ll also be able to see your work applied to web and mobile platforms used by one of the largest digital communities in the world.

Of course, being a part of eBay also means you have incredible opportunity for career growth and development, all over the world. And in addition to offering a great work environment and competitive compensation, eBay provides a smorgasbord of benefits that will almost make you blush.

Sound good? Then join us. We are looking for amazing people to join us in our NYC office.

Engineering

Quality

Primary Job Responsibilities:

We are seeking a highly motivated Software Engineer, who can contribute in the role of Quality Engineering. You will be working on the Merchandizing Team in delivering best in class experiences to our customers. This position requires the candidate to collaborate with folks in other disciplines, specifically Product Management and Product Development but also with User Experience Design, Analytics and Business. The candidate is expected to be a self-starter and team player, and a strong driver for results and continuous improvement. Responsibilities include own quality engineering for assigned product features. The strategy would first identify key aspects from a test perspective and then answer questions like how, when and where these key aspects will be applied (automation, scripts, manual).

- Define overall test strategy for assigned features.
- Estimate testing effort, prioritize projects, plan implementations and help rollout changes.
- Define automation strategy and ensure testability.
- Write best in class code to automate testing for your assigned feature areas.
- Develop deep understanding of the product, engineering processes, tools and concepts in order to effectively narrow down defects. Ability to not only find a defect but also to narrow it down to the root cause.
- This position does require experience to do manual testing as well.
- Participates in test design and test systems architecture discussions, proposes and discusses solutions to system and product changes that are related to domain area.
- Document defects effectively and work with Development team to triage and troubleshoot defects.
- Coordinate testing across multiple teams.
- Participate in product and technology initiatives and recommend improvements.
- Work with other QE engineers,product managers, and product developers to ensure that product specifications describe innovative solutions that meet market needs with respect to functionality, performance, scalability, and reliability, and result in achievable implementation schedules and a product that meets agreed-upon quality standards.
- Identify process, technology challenges and deficiencies that need to be addressed and drive those changes to successful adoption.
- Identify project risks, dependencies and be able to provide alternatives yielding reduced risk.
- List and describe the essential responsibilities of the position for which the individual is held accountable.

Job Requirements:

Looking for a customer-focused, resourceful, detail-oriented, adaptable, and flexible individual. The ideal candidate will have solid technical background and ability to provide technical leadership. Your background will include successful collaboration in cross-functional teams to deliver products of excellent quality which achieve the business goals. You must be a proactive and effective communicator, both verbally and in writing.

In addition, you must possess:
- Excellent knowledge of the software development lifecycle, including agile methodologies.
- Strong knowledge of Java, JS, CSS, HTML, SQL is a must
- Strong knowledge of end-to-end web application flows and tiers.
- Strong knowledge of Java application development and testing
- Experience with test automation tools such as Webdriver or Selenium/TestNG is a plus
- Strong background in math, statistics, machine learning, information retrieval, distributed systems and scalable data processing is a plus
- Proven ability to deliver projects on time with good quality.
- Demonstrates an exceptional customer focus, ensures that provided solutions accurately reflect the real needs and uses of the end users
- MSCS/MSEE highly desirable, BSCS or BSEE or other four-year degree in a relevant field is required

Research and Data Science

Research Engineer

eBay NYC is looking to hire a rock star Research Engineer who can help build the future of personalized recommendations in eBay. You will be part of a combined data science/engineering team, which is responsible for all merchandising and personalization algorithms for eBay marketplaces. You will have a chance to tackle some of the most demanding algorithmic problems eBay is facing, building recommendations engines that serve around a billion recommendations to 100M users per day.

We are using state of the art Big Data infrastructures like hadoop (through cascading and Scalding) and Cassandra, and employ both Java and Scala to build our scalable real-time platform.
eBay currently employs one of the largest hadoop clusters in the industry, containing thousands of nodes and tens of thousands of processing cores. All this computing power is used to analyze over 30 Petabytes of data in order to gain better insight on how to best serve users.
While we stand firmly on theoretical and mathematical roots, we see great value real world, creative and pragmatic solutions.

Job Description
• Research and implement machine learning models for prediction,
personalization and recommendation
• Drive analysis and insights to the impact of newly developed features
• Engineer and build large scale data crunching processes
• Collaborate with database architects, other software engineers, QA and
operations teams to deliver real time distributed recommendation serving
platforms

Senior Research Scientist

eBay NYC is looking to hire a lead data scientist, who will be a thought leader driving the future of personalized recommendations in eBay. As a senior member of our research team, you will have a chance to tackle some of the most demanding algorithmic problems eBay is facing, building recommendations engines that serve around a billion recommendations to 100M users per day.
eBay currently employs one of the largest hadoop clusters in the industry, containing thousands of nodes and tens of thousands of processing cores. All this computing power is used to analyze over 30 Petabytes of data in order to gain better insight on how to best serve users. While we stand firmly on theoretical and mathematical roots, we see great value real world, creative and pragmatic solutions.

We are looking for a research scientist with a proven track record of leading large scale research projects that will eventually yield a working, highly scalable products. The ideal candidate will also have experience mentoring and guiding junior researchers and research engineers.

Job Description
• A cross functional thought leader, leading the research efforts for a next generation recommendation engines, utilizing methods from the disciplines of machine learning, statistical modeling and information retrieval.
• Instruct and direct other junior researchers and research engineers
• Lead collaboration with other research teams in eBay to create a best of breed experience

Requirements
• PhD in Computer Science with relevant cross functional background.
• Previous experience building recommendation engines – advantage
• Successful research track record, focused on applied machine learning,
information retrieval or statistical modeling. Ability to guide and mentor Junior
Researchers
• Proven track record of leading research efforts that are guided by business
opportunities and that will eventually led to product development
• Hands on experience with Big Data infrastructures (Hadoop, Cassandra)
• Relevant engineering background, ideally using Java and/or Scala
• Excellent collaboration skills

Design

Mobile Designer

Looking for a talented designer to help revamp an eBay owned iOS app currently installed on tens of millions of devices. Be smart, able to take casual specs and flesh out the user experience, and willing to live in the greatest city in the world. No no, I meant New York City.

Product Management

Product Manager: Algorithmic Merchandising

We're looking for experienced product managers to join the algorithmic merchandising team. The idea candidate will have experience creating data products such as search or recommender systems in an ecommerce environment. Come help develop the next generation of ecommerce at one of the world’s largest and most iconic shopping destinations. Email us if you’re interested!

Job Description

• Develop a vision and roadmap to create new merchandising algorithms and enhance existing recommendation systems
• Liaison between other Product Managers, Business Units and all other applicable stakeholders to ensure fluid integration of new and existing features
• Drive A/B testing and ad hoc analysis to understanding how shoppers react to new features
• Collaborate with database architects, applied researchers, software engineers, QA and operations teams to deliver strategic site improvements
• Clearly solicit feedback and communicate product benefits and changes to our user community.
• Own major projects and features from design phase to coding and testing and on into production

Requirements
• Master’s or PhD in technical discipline (Statistics, Computer Science, etc.)
• Experience building data products such as web search or recommender systems
• Familiarity with customer measurement through A/B testing and web log analysis
• Experience leading an agile development team a plus
• Self-directed and able to work in a fast-paced startup-like environment

Product Manager: Merchandising Metrics

We're looking for a data obsessed product manager to join the algorithmic merchandising team. The idea candidate will have a proven track record leading analysis teams evaluating data products such as search or recommender systems in an ecommerce environment. Come help develop the next generation of ecommerce at one of the world’s largest and most iconic shopping destinations. Email us if you’re interested!

Job Description

• Shepherd hundreds of A/B and multivariate tests to iterate on existing merchandising algorithms and evaluate new features
• Synthesize sources of quantitative and qualitative information to provide actionable recommendations to product team
• Develop a human judgment program to collect and analyze relevance evaluations
• Work with analytics and development team to create automated reporting for financial and behavioral outcomes
• Own major projects and features from design phase to coding and testing and on into production